You will get a set of lectures to learn Statistics and the famous R programming language
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Project details
I will deliver a set of 18 lectures that allows you to learn the main statistical concepts through R programming language. After delivering each lecture, we will arrange a call so I can explain these codes line by line. I will use many freely datasets to explain the required analysis, visualization, and tests. Each lecture will cost you $200 or you can request a set of 5 lectures for $1000 or the total 18 lectures for $3000.
Lesson Purpose
Data ScienceStudent Age
Teen (13-17), Adult (18-65), Senior (65+)Development Technology
OtherWhat's included
| Service Tiers |
Starter
$200
|
Standard
$1,000
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 30 days |
Number of Lessons | 1 | 5 | 18 |
Lesson Length (Minutes) | 45 | 45 | 45 |
Exercises & Supporting Materials |
Frequently asked questions
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Very impressive and highly cooperative, demonstrating exceptional precision and professionalism in work. Truly outstanding commitment to deadlines, and I look forward to collaborating on more projects together in the near future.
About Mohsen
Statistics tutor in R|Python| Minitab|ML|MSc, Cairo University
100%
Job Success
Cairo, Egypt - 4:11 pm local time
"Mohsen is a professional freelancer with great communication skills, working with him was an absolute pleasure.. Highly recommended" Client feedback for the job "Customer attrition prediction model".
"Mohsen was great to work with, very patient and explained everything very clearly, even if I was a complete beginner and didn't know what to ask. Highly recommend working with him if you need help with R or any statistical analysis!" Client feedback for the job "Co-occurrences of phrases".
Learning or understanding the complex statistical concepts can be as simple as shown in the client feedback above. I have tutored many students in using R/Python/Minitab/Excel for doing many statistical tasks. I have designed several personalized lectures using R/Python/Minitab/Excel for Data Analysis, Data Visualization, Machine Learning, Statistical tests, Six Sigma projects, SPC charts, Spatial data analysis, and even microbiome data analysis. Then, through screen sharing, I have explained these lectures line by line. In addition, I gave many examples during these lectures to help my learners grasp these concepts easily and fully.
I am the author of several books on Amazon focused on using R for healthcare, marketing, data analytics, microbiome, and statistics. I have also published 2 articles in a high-impact journal. Furthermore, I earned several certificates from top universities (Harvard, Johns Hopkins, Denmark,...) in Statistics, Data Analytics, Machine Learning, Data Visualization, Six Sigma, Microbiome Analysis using R, and R Shiny apps. Furthermore, I am a Pharmacist with a Master’s Degree in Microbiology and a Diploma in Industrial Pharmacy.
Some examples of previous work:
+ Estimating geographical pay differences between different cities using the LASSO regression model and presenting results in a Shiny app.
+ Estimating gender difference in annual pay using a linear regression model and presenting results in a Shiny app.
+ Predicting defense style questionnaire (DSQ) columns using linear, PCA, LASSO regression, decision trees, and Random forests.
+ Predicting Kinase inhibitor resistance for cancer treatment using different models, such as random forest, XGBoost, SVM, and stacked models.
+ Using Item Response Theory (IRT), Bayesian statistics, and Bayesian Knowledge Tracing to track student mastery of skills over time.
+ Graphically representing species distribution and richness from species distribution models.
+ Develop mixed models for long-term weight loss after bariatric surgery.
+ Preparing R and Python tutorials according to client needs.
+ Develop network meta-analysis using 2 R packages, netmeta and gemtc.
+ Prediction of active labor using Poisson and Logistic regression.
+ Predicting housing defaults using generalized linear models (GLMs).
+ Microbiome data analysis of 16S rRNA sequences for 64 samples from a diet experiment with mice.
+ Data analysis and presentation for sports performance.
+ Different Spatial data analysis, including geographically weighted regression (GWR) with support for mapping.
+ Different SPC charts.
+ Text and Sentiment Analysis.
Steps for completing your project
After purchasing the project, send requirements so Mohsen can start the project.
Delivery time starts when Mohsen receives requirements from you.
Mohsen works on your project following the steps below.
Revisions may occur after the delivery date.
1.Select your desired lecture
2.Deliver the content of the lecture
The content of each lecture will be in Word, HTML, and Rmd formats. It allows you to learn which code produces which output (table or graph)